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Making small Data BIG
THROUGH INTERDISCIPLINARY
PARTNERSHIPS AMONG LONG-TAIL DOMAINS
AGU FM 2014: IN14B-01
1
K. Lehnert 1, S. Carbotte 1, R. Arko 1, V. L. Ferrini 1, L. Hsu 1, L. Song 1,
M. Ghiorso 2, J. D. Walker 3
1 Lamont -Doherty Earth Observatory, Columbia University, Palisades, NY,
2 OFM Research, Seattle, WA
3 University of Kansas, Lawrence, KS
DATA FACILITIES IN A BIG DATA
WORLD
AGU FM 2014: IN14B-01
2
small data
BIGdata
Data Centers & Facilities
X axis: Data Volume
Y axis: Data Size
Distributed datasets
Research Data Collections
33
HOW WE DEFINE ‘BIG’
Volume
Velocity
Variety
Veracity
VALUE
AGU FM 2014: IN14B-01
3
“The long tail is a
breeding ground for new
ideas and never before
attempted science.”
(Heidorn, B. 2008: “Shedding
Light on the Dark Data in the
Long Tail of Science”)
ADDING VALUE
AGU FM 2014: IN14B-01
4
citable
small data
BIG DATA
accessible
integrated
digital data collection
trustworthy repositories
domain standards
interoperable
APIs, OLP,
55
DATA FACILITIES
“acquire, curate, preserve, and/or disseminate data, software,
and/or models for one or more defined communities or
disciplines”
need to adhere to standards (e.g. ISO 16363, ICSU-WDS)
such as
• governance and organizational viability
• organizational structure and staffing
• procedural accountability and preservation policy framework
• financial sustainability
• contracts, licenses, and liabilities
AGU FM 2014: IN14B-01
5
66
DOMAIN-SPECIFIC
DATA FACILITIES
“With both content-area and
digital curation expertise, domain
repositories are uniquely capable
of ensuring that data and other
research products are adequately
preserved, enhanced, and made
available for replication,
collaboration, and cumulative
knowledge building.”
AGU FM 2014: IN14B-01
6
“Sustaining Domain Repositories for Digital Data: A Call for
Change from an Interdisciplinary Working Group of Domain
Repositories”
Interuniversity Consortium for Political and Social Research
(ICPSR), 2013
IEDA: A MULTI-DISCIPLINARY DATA
FACILITY FOR LONG-TAIL SCIENCE
AGU FM 2014: IN14B-01
7
• Many disciplines
• geochemistry, marine geophysics, marine geology, geochronology, and more
• Many data types
• sensor data and sample-based observations & experiments
• raw data (e.g. multi-beam), field data, lab data, derived data, samples
• gridded data, point data, time-series data, maps, photos, and more
• File sizes varying from a few kilobytes to terabytes
DRIVEN BY MULTI-DISCIPLINARY
SCIENCE
AGU FM 2014: IN14B-01
8
• Ridge 2000
• MARGINS
• GeoPrisms
FROM RESEARCH DATA COLLECTIONS
TO DATA FACILITY
AGU FM 2014: IN14B-01
9
“This Cooperative Agreement
converts a series of
proposal/award-driven activities
into a community-based facility
that serves to support, sustain,
and advance the geosciences by
providing a centralized location
for the registry of and access to
data essential for research in the
solid-earth and polar sciences.”
LDEO Data projects funded by NSF OCE,
EAR, OPP that were merged into IEDA
FROM RESEARCH DATA COLLECTIONS
TO DATA FACILITY
AGU FM 2014: IN14B-01
10
Formal Governance
Robust Infrastructure
Stable Expert Team
Accreditation
Adherence to
Community Standards
IEDA: small data gone BIG
AGU FM 2014: IN14B-01
11
IEDA Syntheses
 19 x 106 analytical values in EarthChem
 2.63 x 106 miles of data from 808 cruises in the
Global Multi-Resolution Topography (GMRT)
IEDA Repositories
 >500,000 files
 47 TB
 4 x 106 samples
LAYERED SERVICES:
THE EUDAT MODEL
AGU FM 2014: IN14B-01
12
Discipline-specific Services
Users
Common Services
- data publication (DOI)
- data submission
- data management (investigator) support
- integrated data access & visualization
- interoperability (web services, RDF linked data, etc.)
- community governance
- community liaison (E&O)
- Data capture (templates, software tools)
- Domain-specific workflows & GUIs
- Data products (syntheses)
- Community standards
- User support & training
IEDA: SCOPE & PARTNERS
AGU FM 2014: IN14B-01
13
EarthChem MGDS
Users (Data contribution & retrieval)
Geochron
IEDA Common Services
Solid Earth Observational Data
Areas of expertise: Sensor data & Sample data
IEDA: SCOPE & PARTNERS
AGU FM 2014: IN14B-01
14
EarthChem MGDS
Users (Data contribution & retrieval)
Geochron
IEDA Common Services
LEPR
1515
PARTNERS
ROLES & RESPONSIBILITIES
Operation of partner systems & services
• Day-to-day operation (except sys admin)
• Planning improvements & new capabilities
• supported by and in coordination with IEDA Implementation Team)
• Align partner systems with IEDA Common Services
• Plan & oversee budget for their activities
• Interact with their specific user communities (user support, training,
feedback, etc.)
Participate in IEDA Partner Assembly
• Contributes to strategic planning & development
• Contribute to planning & prioritization of IEDA developments & activities
• Recommends new opportunities & partnerships
• Participate in IEDA governance
• Participate in annual Face-- Face meeting
15
EXAMPLE
AGU FM 2014: IN14B-01
16
IEDA
Repository
IEDA
Sample
Registry
IEDA Sys Op
J.D. Walker (KU):
- metadata schemas
- user interfaces
- web services
- community liaison
Geochron
IEDA Common
Services
EXAMPLE
AGU FM 2014: IN14B-01
17
IEDA
Repository
IEDA
Sample
Registry
IEDA Sys Op
M. Ghiorso
(OFM-Research):
- metadata schemas
- user interface
- web services
- community liaison
LEPR
IEDA Common
Services
A SCALABLE MODEL
AGU FM 2014: IN14B-01
18
EarthChem MGDS
Users (Data contribution & retrieval)
Geochron LEPR
IEDA Common Services
XX YY
. . . . . .
‘EXTERNAL’ PARTNERSHIPS
AGU FM 2014: IN14B-01
19
PartnerPartner
Funded through the Cooperative AgreementFunded outside the CA;
contract with IEDA
Users (Data contribution & retrieval)
IEDA Common Services
2020
CONCLUSION
Data facilities can grow small data through partnerships
among data efforts in long tail communities
• Maintain the expertise and community liaison of domain-
specific data efforts
• Leverage data curation expertise & infrastructure of data
facilities
AGU FM 2014: IN14B-01
20
Interdisciplinary
Earth Data Alliance
THE NEW IEDA
AGU FM 2014: IN14B-01
21
Interdisciplinary
Earth Data Alliance
 “IEDA strives to be a leading-edge inter-disciplinary data facility
for solid earth data and information,
 founded in domain-specific data resources,
 to deliver integrated and streamlined data services that advance
Ocean, Earth and Polar science and education.”

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IEDA: Making Small Data BIG Through Interdisciplinary Partnerships Among Long-tail Domains

  • 1. Making small Data BIG THROUGH INTERDISCIPLINARY PARTNERSHIPS AMONG LONG-TAIL DOMAINS AGU FM 2014: IN14B-01 1 K. Lehnert 1, S. Carbotte 1, R. Arko 1, V. L. Ferrini 1, L. Hsu 1, L. Song 1, M. Ghiorso 2, J. D. Walker 3 1 Lamont -Doherty Earth Observatory, Columbia University, Palisades, NY, 2 OFM Research, Seattle, WA 3 University of Kansas, Lawrence, KS
  • 2. DATA FACILITIES IN A BIG DATA WORLD AGU FM 2014: IN14B-01 2 small data BIGdata Data Centers & Facilities X axis: Data Volume Y axis: Data Size Distributed datasets Research Data Collections
  • 3. 33 HOW WE DEFINE ‘BIG’ Volume Velocity Variety Veracity VALUE AGU FM 2014: IN14B-01 3 “The long tail is a breeding ground for new ideas and never before attempted science.” (Heidorn, B. 2008: “Shedding Light on the Dark Data in the Long Tail of Science”)
  • 4. ADDING VALUE AGU FM 2014: IN14B-01 4 citable small data BIG DATA accessible integrated digital data collection trustworthy repositories domain standards interoperable APIs, OLP,
  • 5. 55 DATA FACILITIES “acquire, curate, preserve, and/or disseminate data, software, and/or models for one or more defined communities or disciplines” need to adhere to standards (e.g. ISO 16363, ICSU-WDS) such as • governance and organizational viability • organizational structure and staffing • procedural accountability and preservation policy framework • financial sustainability • contracts, licenses, and liabilities AGU FM 2014: IN14B-01 5
  • 6. 66 DOMAIN-SPECIFIC DATA FACILITIES “With both content-area and digital curation expertise, domain repositories are uniquely capable of ensuring that data and other research products are adequately preserved, enhanced, and made available for replication, collaboration, and cumulative knowledge building.” AGU FM 2014: IN14B-01 6 “Sustaining Domain Repositories for Digital Data: A Call for Change from an Interdisciplinary Working Group of Domain Repositories” Interuniversity Consortium for Political and Social Research (ICPSR), 2013
  • 7. IEDA: A MULTI-DISCIPLINARY DATA FACILITY FOR LONG-TAIL SCIENCE AGU FM 2014: IN14B-01 7 • Many disciplines • geochemistry, marine geophysics, marine geology, geochronology, and more • Many data types • sensor data and sample-based observations & experiments • raw data (e.g. multi-beam), field data, lab data, derived data, samples • gridded data, point data, time-series data, maps, photos, and more • File sizes varying from a few kilobytes to terabytes
  • 8. DRIVEN BY MULTI-DISCIPLINARY SCIENCE AGU FM 2014: IN14B-01 8 • Ridge 2000 • MARGINS • GeoPrisms
  • 9. FROM RESEARCH DATA COLLECTIONS TO DATA FACILITY AGU FM 2014: IN14B-01 9 “This Cooperative Agreement converts a series of proposal/award-driven activities into a community-based facility that serves to support, sustain, and advance the geosciences by providing a centralized location for the registry of and access to data essential for research in the solid-earth and polar sciences.” LDEO Data projects funded by NSF OCE, EAR, OPP that were merged into IEDA
  • 10. FROM RESEARCH DATA COLLECTIONS TO DATA FACILITY AGU FM 2014: IN14B-01 10 Formal Governance Robust Infrastructure Stable Expert Team Accreditation Adherence to Community Standards
  • 11. IEDA: small data gone BIG AGU FM 2014: IN14B-01 11 IEDA Syntheses  19 x 106 analytical values in EarthChem  2.63 x 106 miles of data from 808 cruises in the Global Multi-Resolution Topography (GMRT) IEDA Repositories  >500,000 files  47 TB  4 x 106 samples
  • 12. LAYERED SERVICES: THE EUDAT MODEL AGU FM 2014: IN14B-01 12 Discipline-specific Services Users Common Services - data publication (DOI) - data submission - data management (investigator) support - integrated data access & visualization - interoperability (web services, RDF linked data, etc.) - community governance - community liaison (E&O) - Data capture (templates, software tools) - Domain-specific workflows & GUIs - Data products (syntheses) - Community standards - User support & training
  • 13. IEDA: SCOPE & PARTNERS AGU FM 2014: IN14B-01 13 EarthChem MGDS Users (Data contribution & retrieval) Geochron IEDA Common Services Solid Earth Observational Data Areas of expertise: Sensor data & Sample data
  • 14. IEDA: SCOPE & PARTNERS AGU FM 2014: IN14B-01 14 EarthChem MGDS Users (Data contribution & retrieval) Geochron IEDA Common Services LEPR
  • 15. 1515 PARTNERS ROLES & RESPONSIBILITIES Operation of partner systems & services • Day-to-day operation (except sys admin) • Planning improvements & new capabilities • supported by and in coordination with IEDA Implementation Team) • Align partner systems with IEDA Common Services • Plan & oversee budget for their activities • Interact with their specific user communities (user support, training, feedback, etc.) Participate in IEDA Partner Assembly • Contributes to strategic planning & development • Contribute to planning & prioritization of IEDA developments & activities • Recommends new opportunities & partnerships • Participate in IEDA governance • Participate in annual Face-- Face meeting 15
  • 16. EXAMPLE AGU FM 2014: IN14B-01 16 IEDA Repository IEDA Sample Registry IEDA Sys Op J.D. Walker (KU): - metadata schemas - user interfaces - web services - community liaison Geochron IEDA Common Services
  • 17. EXAMPLE AGU FM 2014: IN14B-01 17 IEDA Repository IEDA Sample Registry IEDA Sys Op M. Ghiorso (OFM-Research): - metadata schemas - user interface - web services - community liaison LEPR IEDA Common Services
  • 18. A SCALABLE MODEL AGU FM 2014: IN14B-01 18 EarthChem MGDS Users (Data contribution & retrieval) Geochron LEPR IEDA Common Services XX YY . . . . . .
  • 19. ‘EXTERNAL’ PARTNERSHIPS AGU FM 2014: IN14B-01 19 PartnerPartner Funded through the Cooperative AgreementFunded outside the CA; contract with IEDA Users (Data contribution & retrieval) IEDA Common Services
  • 20. 2020 CONCLUSION Data facilities can grow small data through partnerships among data efforts in long tail communities • Maintain the expertise and community liaison of domain- specific data efforts • Leverage data curation expertise & infrastructure of data facilities AGU FM 2014: IN14B-01 20 Interdisciplinary Earth Data Alliance
  • 21. THE NEW IEDA AGU FM 2014: IN14B-01 21 Interdisciplinary Earth Data Alliance  “IEDA strives to be a leading-edge inter-disciplinary data facility for solid earth data and information,  founded in domain-specific data resources,  to deliver integrated and streamlined data services that advance Ocean, Earth and Polar science and education.”

Editor's Notes

  1. It is ironic that we are starting this session on ‘Data Facilities in a Big Data world’ talking about small data.
  2. The data world is generally distinguishing between big data and small data based on data size and data volume meaning number of datasets. The BIG data world in the Earth Sciences is represented by disciplines that generate massive volumes of observational or computed data using large-scale, shared instrumentation such as global sensor networks, satellites, or high-performance computing facilities. These data are typically managed  and curated by well-supported community data facilities. The small data world is the one where data are primarily acquired by individual investigators or small teams (known as ‘Long-tail data’). These small data are usually poorly shared and integrated, and lack data repositories that ensure persistent access, quality control, long-term archiving, standardization, and interoperability. But often these communities have Research Data Collections, Disciplines with small, PI-generated, distributed data often lack domain-specific data facilities. No consensus on data practices. Insufficient funding to support data facilities. But often served by “Research Data Collections” of substantial scientific value. mostly short-term funded (research grants) PI driven (‘single point of failure’) lack resources to implement repository standards
  3. enabling transformational science fostering technological development promoting educational opportunities
  4. IEDA is a data facility that hosts observational solid earth data and tools from the marine, terrestrial, and polar environments. ¤ Multiple diverse data systems that were developed independently, serving both ¤ sensor data from large collaborative cruise programs ¤ sample-based measurements from unique analytical laboratories ¤ IEDA data systems enable the data to be discovered and reused.
  5. Gain “Trustworthiness” through IEDA’s shared repository services DOI registration long-term archiving solutions linking to literature & awards Augment usage & value through integration into IEDA’s multi-disciplinary data services Single point data submission Sample registration Link to scientific literature Data access & visualization (GeoMapApp) Ensure representation in relevant data curation, data publication, and  informatics communities Improve sustainability